Focusing on the problem that the intersymbol interference and multipath interference exist in multiple-input multiple-output fading channels
a scheme of adaptive precoding with low-complexity is proposed
in which the precoder and the receiver based on zero forced algorithm are placed at transmitter and receiver respectively. So the receiver transmits the channel information to the transmitter while the equalized decoding is carried out
then the transmitter can choose the number of the substreams and the precoding matrices to complete the adaptive precoding. The scheme can decrease the bit error rate of the system effectively. Simulation results show that there is a 1.3 dB phase difference between the proposed scheme and the system based on minimum mean-square error precoding with known channel information under the conditio
n that the channel information is unknown when the bit error rate is 10
-3
and the complexity is decreased by order of magnitude.
关键词
Keywords
references
Paulraj A, Nabar R, Gore D. Introduction to space-time wireless communications [M]. New York: Cambridge University Press, 2003.
Windpassinger C, Fischer R H, Huber J B. Precoding in multiantenna and multiuser communications[J]. IEEE Transactions on Wireless Communications, 2004, 3(4): 1305-1316.
Proakis J G. Digital communications[M]. 4th ed. New York: McGraw Hill, 2001.
Vogelbruch F, Hear S. Low complexity turbo equalization based on soft feedback interference cancellation[J]. IEEE Communications Letters, 2005, 9(7): 586-588.
Lopes R R, Barry J R. The soft-feedback equalizer for turbo equalization of highly dispersive channels[J]. IEEE Transactions on Communications, 2006, 54(5): 783-788.
Collin L, Berder O, Rostaing P, et al. Optimal minimum distance-based precoder for MIMO spatial multiplexing systems[J]. IEEE Transactions on Signal Process, 2004, 52(3): 617-627.
Heath R W, Love D J. Multimode antenna selection for spatial multiplexing systems with linear receivers[J]. IEEE Transactions on Signal Process, 2005, 53(8): 3042-3056.
Viterbo E, Boutrous J. A universal lattice code decoder for fading channels [J]. IEEE Transactions on Information Theory, 1999, 45(5): 1639-1642.
Damen O, Chkeif A, Belfiore J. Lattice code decoder for space-time codes[J]. IEEE Communication Letters, 2000, 4(5): 161-163.
Heath R, Sandhu S, Paulraj A. Antenna selection for spatial multiplexing systems with linear receivers [J]. IEEE Communication Letters, 2001, 5(4): 142-144.